TATA CONSULTANCY SERVICES ASIA PACIFIC PTE. LTD. Hiring! Full Time SAS SME - Test Management in Central Region (Singapore), Earn up to SGD 9,000 - Ricebowl

Must have

• Strong experience in Finance, General Ledger, Financial Reporting, Regulatory Reporting, or Data Warehouse testing.
• Experience managing SAS, ETL, data migration, reconciliation, and report-validation testing.
• Proven experience managing SIT, UAT, End-to-End, Regression, and production verification testing.
• Strong understanding of source-to-target validation, transformation rules, aggregation, and financial reconciliation.

Good to have

• Experience managing test resources, schedules, risks, dependencies, defects, and quality metrics.
• Strong stakeholder, vendor, and senior-management communication skills.
• Experience working with onsite and offshore testing teams.

Description

• Define the overall test strategy, scope, approach, estimates, and execution plan.
• Establish testing entry and exit criteria across all test phases.
• Lead SIT, UAT, End-to-End, Regression, and production verification testing.
• Manage testing across SAS processing, source systems, data warehouses, Finance Data Marts, General Ledger, and reporting layers.
• Ensure complete coverage of financial calculations, transformations, aggregations, reconciliations, and reporting controls.
• Coordinate test-data preparation and environment readiness.
• Manage test execution, progress tracking, defects, risks, issues, and dependencies.
• Lead defect-triage meetings and drive timely resolution of critical and high-priority defects.
• Coordinate with Finance, Business, Business Analysts, Developers, Data Engineers, Architects, Operations, and Vendors.
• Track testing KPIs, defect metrics, execution progress, and quality trends.
• Provide clear status reporting to project governance and senior stakeholders.
• Manage onsite and offshore test teams and ensure delivery accountability.
• Support UAT planning, business-user coordination, and sign-off.
• Assess release readiness and provide go-live recommendations.
• Support deployment, production verification, and post-go-live stabilization.
• Drive continuous improvement through automation, reusable test assets, and standardized data-validation approaches.